Social Media: Mimesis and Warfare

2016 ◽  
Vol 35 (1) ◽  
pp. 119-136 ◽  
Author(s):  
Ignas Kalpokas

Abstract Weaponisation of social media and online information is a real and emerging threat. Hence, this article aims to broaden our understanding of this phenomenon by introducing the concept of mimetic warfare. Borrowing from mimesis, or a particular representation of reality, this article delves into information conflicts as the ones involving a struggle between well-prepared comprehensive narratives that are intended to affect a target population’s cognition and behaviour. Mimesis as a concept is seen as particularly useful in explaining the multiplicity, proliferation and appeal of such representations and interpretations of facts, events or phenomena. The article then presents a case for the Western states’ proactive involvement in mimetic operations at the home front in order to maintain cohesion and not to cede ground to hostile foreign powers.

2011 ◽  
Vol 38 (6) ◽  
pp. 805-825 ◽  
Author(s):  
David C. DeAndrea ◽  
Joseph B. Walther

This study investigated how people make sense of self-portrayals in social media that are inconsistent with impressions formed through other interpersonal interactions. The research focused on how inconsistent online information affects interpersonal impressions and how motivation to manage impressions influences the types of attributions that actors and observers make for the misleading online behavior. Results show that the relationship between observer and the target influences evaluations of online/offline inconsistencies: Subjects rated the inconsistencies of acquaintances as more intentionally misleading, more hypocritical, and less trustworthy relative to the inconsistencies of friends. In addition, the types of attributions people made for online behavior depended on the perspective of the person providing the explanation: People explained their own online behavior more favorably than the online behavior of both friends and acquaintances.


2019 ◽  
Vol 2 (2) ◽  
pp. 111
Author(s):  
Silvia Widya Kusumaningtyas ◽  
Zon Vanel

<span lang="IN">Social media is one type of new media that facilitates the process of communication among human. Social media makes it easy for users to communicate and share information in a wider range. At present, not only people use Instagram, but the government also needs to keep up with the time to participate in using Instagram as an online information media. Public Relations of the Salatiga Government is one of the public relations departments that uses Instagram as an online information media to provide information needed by the community.<br /> This research aimed to find out how the content of the information was<span>  </span>and how the role of instagram was as an information deliverance to the citizen by the public relations of Salatiga. Through qualitative methods research, data is collected by means of interviews and observations. The results showed that the Salatiga <span> </span>Government Public Relations Instagram account had a role to increase brand awareness, connect many people and as a source of information/ business promotion.Public Relations of the Salatiga Government considers that Instagram plays an active role in conveying information to the public. This is seen from the many positive responses received by the Salatiga City Government Public Relations during managing Instagram as a modern information deliverance.<span>     </span></span>


Author(s):  
Aibo Guo ◽  
Xinyi Li ◽  
Ning Pang ◽  
Xiang Zhao

Community Q&A forum is a special type of social media that provides a platform to raise questions and to answer them (both by forum participants), to facilitate online information sharing. Currently, community Q&A forums in professional domains have attracted a large number of users by offering professional knowledge. To support information access and save users’ efforts of raising new questions, they usually come with a question retrieval function, which retrieves similar existing questions (and their answers) to a user’s query. However, it can be difficult for community Q&A forums to cover all domains, especially those emerging lately with little labeled data but great discrepancy from existing domains. We refer to this scenario as cross-domain question retrieval. To handle the unique challenges of cross-domain question retrieval, we design a model based on adversarial training, namely, X-QR , which consists of two modules—a domain discriminator and a sentence matcher. The domain discriminator aims at aligning the source and target data distributions and unifying the feature space by domain-adversarial training. With the assistance of the domain discriminator, the sentence matcher is able to learn domain-consistent knowledge for the final matching prediction. To the best of our knowledge, this work is among the first to investigate the domain adaption problem of sentence matching for community Q&A forums question retrieval. The experiment results suggest that the proposed X-QR model offers better performance than conventional sentence matching methods in accomplishing cross-domain community Q&A tasks.


Author(s):  
Nampombe Saurombe

Archives serve as society's collective memory because they provide evidence of the past as well as promoting accountability and transparency of past actions. Appreciation of the archives should therefore result in citizens linking these records with their identity, history, civic duty and cultural heritage. However, research in east and southern Africa seems to indicate that very few citizens are aware of and use the archives. Social media platforms have been utilized to raise awareness about the archival institutions elsewhere. This study sought to find out whether the National Archives in east and southern Africa used social media to raise awareness about archives. The study involved 12 national archives affiliated to the East and Southern Regional Branch of the International Council on Archives (ESARBICA) using a multi-method research strategy. The findings indicated that social media platforms were not a preferred option in outreach strategies, even though they were recognized as useful means to reach online information seekers.


2012 ◽  
pp. 514-524
Author(s):  
Maria Lexhagen

Tourism is an intangible product that is simultaneously produced and consumed as well as perishable. Therefore, it is highly dependent on the availability of information. Information Technology, such as the Internet, can support customers’ search and purchase processes and act as a source and facilitator to achieve higher efficiency, less risk, and more satisfied tourists. This chapter reviews the emergence and growth of research on tourists’ online information search and purchase, the need for and use of support in this process, as well as the perception of values. Future developments of mobile technology and social media use are discussed as interesting areas of more research since they have implications for customer behavior, marketing, and management.


Author(s):  
Ludwig Christian Schaupp ◽  
Lemuria Carter

Thanks to recent technological advancements, social networking has seen unprecedented growth. Services such as Facebook, Twitter and LinkedIn have evolved from niche communities to active cyber-societies. In addition to an increase in the diffusion of social media, there has also been an increase in the amount and type of information that participants share in these online environments. In this paper, the authors integrate decision making research from three disciplines -marketing, theology and information systems - to explain information disclosure in online communities. They use these disciplines to provide a comprehensive review of existing literature and present innovative recommendations for research and practice. In particular, the authors recommend Potter's Box as a useful framework for evaluating the ethical implications of online information disclosure.


2015 ◽  
pp. 1053-1075
Author(s):  
Hongwei “Chris” Yang

A paper survey of 489 Chinese college students was conducted in spring, 2012 to test a conceptual model of online information disclosure in social media. It shows that young Chinese SNS users' prior negative experience of online disclosure significantly increased their online privacy concerns and their perceived risk. Their online privacy concerns undermined their trust of online companies, marketers and laws to protect privacy and elevated their perceived risk. Their trust strongly predicted their intent to disclose the lifestyle and sensitive information. Their online privacy concerns only inhibited them from disclosing sensitive information in social media. However, their prior negative experience did not directly predict their intent of self-disclosure on SNS. Implications for academia and industry are discussed.


Author(s):  
Galit Margalit Ben-Israel

This article deals with citizen engagement and public participation being in crisis on the Israeli home front, in the era of Web 2.0. Since 2004, Web 2.0 characterizes changes that allow users to interact and collaborate with each other in a social media dialogue as creators of user-generated content in social networking sites: Facebook, Twitter, blogs, wikis, YouTube, hosted services, applications, WhatsApp, etc. Since 2006, Israel is involved in asymmetric conflicts. The research defines the impact of Web 2.0 on public engagement in the Israeli home front. The case studies examined in the research are: 1) The 2006 Lebanon War (July-August 2006); 2) The Gaza War (27 December 2008 and ended on 18 January 2009); 3) Operation Pillar of Defense (November 2012); and 4) The 2014 Israel–Gaza conflict.


2020 ◽  
Vol 10 (14) ◽  
pp. 4711 ◽  
Author(s):  
Zongmin Li ◽  
Qi Zhang ◽  
Yuhong Wang ◽  
Shihang Wang

One prominent dark side of online information behavior is the spreading of rumors. The feature analysis and crowd identification of social media rumor refuters based on machine learning methods can shed light on the rumor refutation process. This paper analyzed the association between user features and rumor refuting behavior in five main rumor categories: economics, society, disaster, politics, and military. Natural language processing (NLP) techniques are applied to quantify the user’s sentiment tendency and recent interests. Then, those results were combined with other personalized features to train an XGBoost classification model, and potential refuters can be identified. Information from 58,807 Sina Weibo users (including their 646,877 microblogs) for the five anti-rumor microblog categories was collected for model training and feature analysis. The results revealed that there were significant differences between rumor stiflers and refuters, as well as between refuters for different categories. Refuters tended to be more active on social media and a large proportion of them gathered in more developed regions. Tweeting history was a vital reference as well, and refuters showed higher interest in topics related with the rumor refuting message. Meanwhile, features such as gender, age, user labels and sentiment tendency also varied between refuters considering categories.


Sign in / Sign up

Export Citation Format

Share Document